李 政德

研究成果

每年研究成果 2007 2011 2012 2015 2018 2019 2020 2021 2022 2023 2024 2024

• 110 Conference contribution
• 44 Article
• 8 Editorial
• 3 Paper
• 5 更多
  • 3 Conference article
  • 1 Chapter
  • 1 Comment/debate

每年研究成果

每年研究成果

搜尋結果

• 2024

  Forecasting Urban Sensory Values through Learning Attention-adjusted Graph Spatio-temporal Networks

  Lu, Y. J. & Li, C. T., 2024 1月 15, 於: ACM Transactions on Spatial Algorithms and Systems. 10, 1, 4.

  研究成果: Article › 同行評審

  • Sensor 100%
  • Forecasting 97%
  • Learning 77%
  • Temporal Correlation 44%
  • Sensors 43%
  2 引文 斯高帕斯（Scopus）

• Hierarchical Bipartite Graph Convolutional Network for Recommendation

  Cheng, Y. W., Zhong, Z., Pang, J. & Li, C. T., 2024 5月 1, 於: IEEE Computational Intelligence Magazine. 19, 2, p. 49-60 12 p.

  研究成果: Article › 同行評審

  • Recommendations 90%
  • Recommender systems 84%
  • Bipartite Graph 77%
  • Neural Networks 52%
  • Neural networks 51%
  1 引文 斯高帕斯（Scopus）

• Towards robust rumor detection with graph contrastive and curriculum learning

  Zhuang, W. M., Chen, C. Y. & Li, C. T., 2024 6月 19, 於: ACM Transactions on Knowledge Discovery from Data. 18, 7, 175.

  研究成果: Article › 同行評審

  開啟存取

• Unilateral boundary time series forecasting

  Chang, C. M., Li, C. T. & Lin, S. D., 2024, 於: Frontiers in Big Data. 7, 1376023.

  研究成果: Article › 同行評審

  開啟存取
• 2023

  CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding

  Hsieh, I. C. & Li, C. T., 2023 1月 1, 於: IEEE Transactions on Knowledge and Data Engineering. 35, 1, p. 167-180 14 p.

  研究成果: Article › 同行評審

  開啟存取

  • Attribute 37%
  • Vertex of a graph 33%
  • Graph structures 14%
  • Model 10%
  • Circle 10%
  4 引文 斯高帕斯（Scopus）

• DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification

  Chen, K. C., Li, C. T. & Lee, K. J., 2023 10月 3, 於: ACM Transactions on Intelligent Systems and Technology. 14, 5, 88.

  研究成果: Article › 同行評審

  開啟存取

  • Text Classification 100%
  • Convolution 57%
  • Relaxation 54%
  • Differentiable 49%
  • Fusion reactions 46%
  1 引文 斯高帕斯（Scopus）

• FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks

  Hsu, Y. L., Tsai, Y. C. & Li, C. T., 2023 1月 1, 於: IEEE Transactions on Knowledge and Data Engineering. 35, 1, p. 469-481 13 p.

  研究成果: Article › 同行評審

  開啟存取

  • Time series 100%
  • Graph in graph theory 53%
  • Stock Prices 41%
  • Deep learning 34%
  • Relationships 18%
  52 引文 斯高帕斯（Scopus）

• Hierarchical message-passing graph neural networks

  Zhong, Z., Li, C. T. & Pang, J., 2023 1月, 於: Data Mining and Knowledge Discovery. 37, 1, p. 381-408 28 p.

  研究成果: Article › 同行評審

  開啟存取

  • Message passing 100%
  • Neural networks 56%
  • Graph structures 12%
  • Electric network analysis 10%
  • Macros 9%
  21 引文 斯高帕斯（Scopus）

• Learning Privacy-Preserving Embeddings for Image Data to Be Published

  Li, C. C., Li, C. T. & Lin, S. D., 2023 11月 14, 於: ACM Transactions on Intelligent Systems and Technology. 14, 6, 105.

  研究成果: Article › 同行評審

  • Privacy Preserving 100%
  • Multi-task learning 85%
  • Data privacy 65%
  • Learning 58%
  • X rays 57%
  2 引文 斯高帕斯（Scopus）

• Multi-Grained Semantics-Aware Graph Neural Networks

  Zhong, Z., Li, C. T. & Pang, J., 2023 7月 1, 於: IEEE Transactions on Knowledge and Data Engineering. 35, 7, p. 7251-7262 12 p.

  研究成果: Article › 同行評審

  開啟存取

  • Neural Networks 100%
  • Semantics 90%
  • Neural networks 64%
  • Graph in graph theory 48%
  • Graph structures 43%
  4 引文 斯高帕斯（Scopus）

• NetFense: Adversarial Defenses Against Privacy Attacks on Neural Networks for Graph Data

  Hsieh, I. C. & Li, C. T., 2023 1月 1, 於: IEEE Transactions on Knowledge and Data Engineering. 35, 1, p. 796-809 14 p.

  研究成果: Article › 同行評審

  開啟存取

  • Privacy 100%
  • Attack 79%
  • Neural Networks 73%
  • Labels 66%
  • Neural networks 47%
  11 引文 斯高帕斯（Scopus）

• Predictive models for short-term mortality and length of hospital stay among adults with community-onset bacteraemia before and during the COVID-19 pandemic: application of early data dynamics

  Lee, C. C., Hung, Y. P., Hsieh, C. C., Ho, C. Y., Hsu, C. Y., Li, C. T. & Ko, W. C., 2023 12月, 於: BMC infectious diseases. 23, 1, 605.

  研究成果: Article › 同行評審

  開啟存取

  • Coronavirus 100%
  • Pandemics 84%
  • Bacteremia 81%
  • Length of Stay 60%
  • Mortality 40%
  2 引文 斯高帕斯（Scopus）
• 2022

  FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

  Li, C. T., Hsu, C. & Zhang, Y., 2022 2月, 於: ACM Transactions on Intelligent Systems and Technology. 13, 1, 16.

  研究成果: Article › 同行評審

  • Multi-task Learning 100%
  • Graph Embedding 80%
  • Multi-task learning 78%
  • Fairness 74%
  • Recommendations 63%
  30 引文 斯高帕斯（Scopus）

• Personalised meta-path generation for heterogeneous graph neural networks

  Zhong, Z., Li, C. T. & Pang, J., 2022 11月, 於: Data Mining and Knowledge Discovery. 36, 6, p. 2299-2333 35 p.

  研究成果: Article › 同行評審

  開啟存取

  • Neural networks 100%
  • Markov processes 29%
  • Reinforcement learning 27%
  • Semantics 18%
  3 引文 斯高帕斯（Scopus）

• Toward an Adaptive Skip-Gram Model for Network Representation Learning

  Hsieh, I. C. & Li, C. T., 2022, 於: IEEE Access. 10, p. 37506-37514 9 p.

  研究成果: Article › 同行評審

  開啟存取

  • Random Walk 100%
  • Sampling 85%
  • Random processes 36%
  • Visualization 26%
  • Costs 26%
  1 引文 斯高帕斯（Scopus）
• 2021

  Joint selection of influential users and locations under target region in location-based social networks

  Ali, K., Li, C. T. & Chen, Y. S., 2021, 於: Sensors (Switzerland). 21, 3, p. 1-17 17 p., 709.

  研究成果: Article › 同行評審

  開啟存取

  • Social Networking 100%
  • promotion 30%
  • products 24%
  • Marketing 23%
  • marketing 19%
  5 引文 斯高帕斯（Scopus）

• Learning template-free network embeddings for heterogeneous link prediction

  Li, C. T. & Wang, W. C., 2021 11月, 於: Soft Computing. 25, 21, p. 13425-13435 11 p.

  研究成果: Article › 同行評審

  • Template 100%
  • Learning 75%
  • Prediction 66%
  • Heterogeneous networks 43%
  • Vertex of a graph 31%
  2 引文 斯高帕斯（Scopus）

• Mining influential who-to-post and when-to-post curators on social networks

  HSIA, CHIEH. CHENG. & LI, CHENG. TE., 2021 7月, 於: Journal of Information Science and Engineering. 37, 4, p. 935-958 24 p.

  研究成果: Article › 同行評審

  • Mining 100%
  • social network 62%
  • Training Algorithm 43%
  • Influence 41%
  • Learning to rank 37%

• On exploring feature representation learning of items to forecast their rise and fall in social media

  Li, C. T., Chen, H. Y. & Zhang, Y., 2021 6月, 於: Journal of Intelligent Information Systems. 56, 3, p. 409-433 25 p.

  研究成果: Article › 同行評審

  • Time series 100%
  • Recommender systems 23%
  • Marketing 22%
  • Feature extraction 17%
  • Experiments 8%
  4 引文 斯高帕斯（Scopus）

• Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms

  Lo, Y. T., Liao, J. C. H., Chen, M. H., Chang, C. M. & Li, C. T., 2021 12月, 於: BMC Medical Informatics and Decision Making. 21, 1, 288.

  研究成果: Article › 同行評審

  開啟存取

  • Machine Learning 98%
  • Learning algorithms 71%
  • Machine learning 63%
  • recipient 36%
  • ROC Curve 31%
  25 引文 斯高帕斯（Scopus）
• 2020

  A joint optimization framework for better community detection based on link prediction in social networks

  Zhang, S. K., Li, C. T. & Lin, S. D., 2020 11月 1, 於: Knowledge and Information Systems. 62, 11, p. 4277-4296 20 p.

  研究成果: Article › 同行評審

  • Sampling 100%
  • Experiments 50%
  5 引文 斯高帕斯（Scopus）

• Detecting Fake News in Social Media: An Asia-Pacific Perspective

  Cha, M., Gao, W. & Li, C. T., 2020 3月 20, 於: Communications of the ACM. 63, 4, p. 68-71 4 p.

  研究成果: Article › 同行評審

  開啟存取
  30 引文 斯高帕斯（Scopus）

• Finding potential propagators and customers in location-based social networks: An embedding-based approach

  Chen, Y. C. & Li, C. T., 2020 11月 2, 於: Applied Sciences (Switzerland). 10, 22, p. 1-13 13 p., 8003.

  研究成果: Article › 同行評審

  開啟存取

  • embedding 100%
  • propagation 57%
  • promotion 34%
  • Experiments 4%
  2 引文 斯高帕斯（Scopus）

• Learning effective feature representation against user privacy protection on social networks

  Li, C. T. & Zeng, Z. Y., 2020 7月, 於: Applied Sciences (Switzerland). 10, 14, 4835.

  研究成果: Article › 同行評審

  開啟存取

  • privacy 100%
  • learning 75%
  • Data privacy 71%
  • Electric network analysis 46%
  • Simulation 43%
  1 引文 斯高帕斯（Scopus）

• Structural hierarchy-enhanced network representation learning

  Li, C. T. & Lin, H. Y., 2020 10月 2, 於: Applied Sciences (Switzerland). 10, 20, p. 1-11 11 p., 7214.

  研究成果: Article › 同行評審

  開啟存取

  • learning 100%
  • hierarchies 91%
  • Topology 31%
  • embedding 18%
  • Experiments 16%
  2 引文 斯高帕斯（Scopus）
• 2019

  A check-in shielding scheme against acquaintance inference in location-based social networks

  Chen, B. H., Li, C. T. & Chuang, K. T., 2019 11月 1, 於: World Wide Web. 22, 6, p. 2321-2354 34 p.

  研究成果: Article › 同行評審

  • Shielding 100%
  • Social Work 23%
  • Experiments 5%
  1 引文 斯高帕斯（Scopus）

• An active learning-based approach for location-aware acquaintance inference

  Chen, B. H., Li, C. T., Chuang, K. T., Pang, J. & Zhang, Y., 2019 6月 4, 於: Knowledge and Information Systems. 59, 3, p. 539-569 31 p.

  研究成果: Article › 同行評審

  • Problem-Based Learning 100%
  • Labeling 56%
  • Recommender systems 28%
  • Mobile computing 24%
  • Feedback 18%
  1 引文 斯高帕斯（Scopus）

• Inferring online social ties from offline geographical activities

  Hsieh, H. P. & Li, C. T., 2019 1月, 於: ACM Transactions on Intelligent Systems and Technology. 10, 2, a17.

  研究成果: Article › 同行評審

  • Tie 95%
  • Mobile Applications 40%
  • Mobile Devices 37%
  • Energy Saving 34%
  • Mobile computing 34%
  11 引文 斯高帕斯（Scopus）

• Mentor-spotting: recommending expert mentors to mentees for live trouble-shooting in Codementor

  Li, C. T., 2019 11月 1, 於: Knowledge and Information Systems. 61, 2, p. 799-820 22 p.

  研究成果: Article › 同行評審

  • Mentoring 100%
  • Supervised learning 15%
  • Availability 10%
  9 引文 斯高帕斯（Scopus）

• Temporal popularity prediction of locations for geographical placement of retail stores

  Hsieh, H. P., Lin, F., Li, C. T., Yen, I. E. H. & Chen, H. Y., 2019 7月 1, 於: Knowledge and Information Systems. 60, 1, p. 247-273 27 p.

  研究成果: Article › 同行評審

  • Retail stores 100%
  • Profitability 17%
  • Semi-supervised learning 12%
  • Supervised learning 10%
  • Interpolation 8%
  7 引文 斯高帕斯（Scopus）

• Towards a more reliable privacy-preserving recommender system

  Jiang, J. Y., Li, C. T. & Lin, S. D., 2019 5月, 於: Information sciences. 482, p. 248-265 18 p.

  研究成果: Article › 同行評審

  • Privacy Preserving 94%
  • Collaborative filtering 68%
  • Privacy 61%
  • Collaborative Filtering 61%
  • Recommender systems 60%
  35 引文 斯高帕斯（Scopus）

• Who should I invite: predicting event participants for a host user

  Jiang, J. Y. & Li, C. T., 2019 6月 4, 於: Knowledge and Information Systems. 59, 3, p. 629-650 22 p.

  研究成果: Article › 同行評審

  • Factorization 100%
  • Internet 68%
  • Costs 38%
  • Experiments 35%
  11 引文 斯高帕斯（Scopus）
• 2018

  A cross-domain recommendation mechanism for cold-start users based on partial least squares regression

  Li, C. T., Hsu, C. T. & Shan, M. K., 2018 11月, 於: ACM Transactions on Intelligent Systems and Technology. 9, 6, 67.

  研究成果: Article › 同行評審

  • Recommendations 77%
  • Recommender systems 71%
  • Regression analysis 18%
  • Factorization 17%
  • Profitability 15%
  22 引文 斯高帕斯（Scopus）

• Forecasting participants of information diffusion on social networks with its applications

  Li, C. T., Lin, Y. J. & Yeh, M. Y., 2018 1月, 於: Information sciences. 422, p. 432-446 15 p.

  研究成果: Article › 同行評審

  • Information Diffusion 100%
  • Forecasting 68%
  • Social Networks 65%
  • Participation 49%
  • Marketing 31%
  44 引文 斯高帕斯（Scopus）

• On route planning by inferring visiting time, modeling user preferences, and mining representative trip patterns

  Li, C. T., Chen, H. Y., Chen, R. H. & Hsieh, H. P., 2018 9月 1, 於: Knowledge and Information Systems. 56, 3, p. 581-611 31 p.

  研究成果: Article › 同行評審

  • Planning 100%
  • Location based services 23%
  • Experiments 7%
  6 引文 斯高帕斯（Scopus）

• Social Flocks: Simulating Crowds to Discover the Connection between Spatial-Temporal Movements of People and Social Structure

  Li, C. T. & Lin, S. D., 2018 3月, 於: IEEE Transactions on Computational Social Systems. 5, 1, p. 33-45 13 p.

  研究成果: Article › 同行評審

  • Social Structure 100%
  • Flock 89%
  • Movement 64%
  • social structure 58%
  • social network 49%
  13 引文 斯高帕斯（Scopus）

• Team formation with influence maximization for influential event organization on social networks

  Li, C. T., Huang, M. Y. & Yan, R., 2018 7月 1, 於: World Wide Web. 21, 4, p. 939-959 21 p.

  研究成果: Article › 同行評審

  • Social Work 100%
  • Heuristic methods 79%
  • Communication 69%
  • NP-hard 66%
  • Labels 58%
  15 引文 斯高帕斯（Scopus）
• 2017

  Modeling city locations as complex networks: An initial study

  Zhou, L., Zhang, Y., Pang, J. & Li, C. T., 2017, 於: Studies in Computational Intelligence. 693, p. 735-747 13 p.

  研究成果: Article › 同行評審

  • Complex networks 100%
  4 引文 斯高帕斯（Scopus）
• 2016

  Exploiting concept drift to predict popularity of social multimedia in microblogs

  Li, C. T., Shan, M. K., Jheng, S. H. & Chou, K. C., 2016 4月 20, 於: Information sciences. 339, p. 310-331 22 p.

  研究成果: Article › 同行評審

  • Concept Drift 100%
  • Multimedia 76%
  • Predict 48%
  • Twitter 19%
  • Classifiers 18%
  33 引文 斯高帕斯（Scopus）
• 2015

  Automatic generation of visual story for fairy tales with digital narrative

  Li, C. T., Huang, C. J. & Shan, M. K., 2015 7月 1, 於: Web Intelligence and Agent Systems. 13, 2, p. 115-122 8 p.

  研究成果: Article › 同行評審

  • Visualization 100%
  1 引文 斯高帕斯（Scopus）

• On team formation with expertise query in collaborative social networks

  Li, C. T., Shan, M. K. & Lin, S. D., 2015 2月 1, 於: Knowledge and Information Systems. 42, 2, p. 441-463 23 p.

  研究成果: Article › 同行評審

  • Communication 100%
  • Costs 75%
  41 引文 斯高帕斯（Scopus）
• 2013

  Mining and generating large-scaled social networks via MapReduce

  Lo, Y. C., Lai, H. C., Li, C. T. & Lin, S. D., 2013 1月 1, 於: Social Network Analysis and Mining. 3, 4, p. 1449-1469 21 p.

  研究成果: Article › 同行評審

  • social network 100%
  • Open Sources 87%
  • Complex networks 43%
  • Computational efficiency 41%
  • Cloud computing 37%
  4 引文 斯高帕斯（Scopus）

• Modeling and evaluating information propagation in a microblogging social network

  Li, C. T., Kuo, T. T., Ho, C. T., Hong, S. C., Lin, W. S. & Lin, S. D., 2013 1月 1, 於: Social Network Analysis and Mining. 3, 3, p. 341-357 17 p.

  研究成果: Article › 同行評審

  • social network 100%
  • information content 23%
  • Visualization 19%
  • twitter 18%
  • visualization 17%
  18 引文 斯高帕斯（Scopus）
• 2012

  A social network evolution model based on seniority

  Ko, Y. K., Lou, J. K., Li, C. T., Lin, S. D. & Jeng, S. K., 2012 1月 1, 於: Social Network Analysis and Mining. 2, 2, p. 107-119 13 p.

  研究成果: Article › 同行評審

  • social network 100%
  • Densification 73%
  • simulation 20%
  • Law 13%
  1 引文 斯高帕斯（Scopus）